55 citations · 64 across the 5 of their papers we have counts for
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cs.LG2020★ 55 cited
Gradient Boosting Neural Networks: GrowNet
Sarkhan Badirli, Xuanqing Liu, Zhengming Xing +3
A novel gradient boosting framework is proposed where shallow neural networks are employed as ``weak learners''. General loss functions are considered under this unified framework…
cs.LG2016★ 1 cited
Geometry Aware Mappings for High Dimensional Sparse Factors
Avradeep Bhowmik, Nathan Liu, Erheng Zhong +2
While matrix factorisation models are ubiquitous in large scale recommendation and search, real time application of such models requires inner product computations over an intracta…